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Effective Object Identification through RFID Reader Power Control

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Mobile, Ubiquitous, and Intelligent Computing

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 274))

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Abstract

In this paper, we present a RFID reader scheduling strategy for an effective identification by varying coverage through power control. A RFID reader is incorporated into a surveillance system which tracks objects with visual sensors. A required separation between objects is defined to avoid group identification with multiple objects. In order to reduce the power consumption of a RFID reader, the power cost is simply modeled with object positions to determine the activation time and the range of a RFID reader. The power cost model also considers the effect of added power consumption establishing group identification. A RFID reader is activated when the estimated power cost for the current sampling time is smaller than the estimated power cost for the next sampling time. The simulation results demonstrate that the proposed method reduces the power consumption with the effective object identification.

This research is supported by the International Collaborative R&D Program of the Ministry of Knowledge Economy (MKE), the Korean government, as a result of Development of Security Threat Control System with Multi-Sensor Integration and Image Analysis Project, 2010-TD-300802-002.

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References

  1. Schulz, D., Fox, D., Hightower, J.: People tracking with anonymous and ID-sensors using Rao-Blackwellised particle filters. In: Proc. of the Int’l Joint Conf. on Artificial Intelligence (August 2003)

    Google Scholar 

  2. Shin, J., Kumar, R., Mohapatra, D., Ramachandran, U., Ammar, M.H.: ASAP: A camera sensor network for situation awareness. In: Tovar, E., Tsigas, P., Fouchal, H. (eds.) OPODIS 2007. LNCS, vol. 4878, pp. 31–47. Springer, Heidelberg (2007)

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  3. Cho, S.H., Hong, S., Moon, N., Park, P., Oh, S.-J.: Object association and identification in heterogeneous sensors environment. EURASIP Journal on Advances in Signal Processing 2010, Article ID 591582 (November 2010)

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  4. Cho, S.H., Nam, Y., Hong, S.: Association and identification in heterogeneous sensors environment with coverage uncertainty. In: Proc. of IEEE Int’l Conf. on Advanced Video and Signal Based Surveillance (September 2009)

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© 2014 Springer-Verlag Berlin Heidelberg

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Cho, S.H., Hong, S., Moon, N. (2014). Effective Object Identification through RFID Reader Power Control. In: Park, J., Adeli, H., Park, N., Woungang, I. (eds) Mobile, Ubiquitous, and Intelligent Computing. Lecture Notes in Electrical Engineering, vol 274. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40675-1_26

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  • DOI: https://doi.org/10.1007/978-3-642-40675-1_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40674-4

  • Online ISBN: 978-3-642-40675-1

  • eBook Packages: EngineeringEngineering (R0)

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